Connexion

Icehogs
GP: 80 | W: 40 | L: 32 | OTL: 8 | P: 88
GF: 324 | GA: 311 | PP%: 20.54% | PK%: 77.91%
DG: Pierre-Luc Dionne | Morale : 41 | Moyenne d’équipe : 64
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Centre de jeu
Rocket
47-29-4, 98pts
4
FINAL
3 Icehogs
40-32-8, 88pts
Team Stats
L1StreakW1
25-14-1Home Record15-19-6
22-15-3Away Record25-13-2
6-3-1Last 10 Games7-1-2
4.26Buts par match 4.05
4.16Buts contre par match 3.89
24.29%Pourcentage en avantage numérique20.54%
78.25%Pourcentage en désavantage numérique77.91%
Icehogs
40-32-8, 88pts
8
FINAL
1 Devils
32-41-7, 71pts
Team Stats
W1StreakL4
15-19-6Home Record18-18-4
25-13-2Away Record14-23-3
7-1-2Last 10 Games3-5-2
4.05Buts par match 3.91
3.89Buts contre par match 4.40
20.54%Pourcentage en avantage numérique23.39%
77.91%Pourcentage en désavantage numérique79.51%
Meneurs d'équipe
Buts
Frederik Gauthier
40
Passes
Frederik Gauthier
48
Points
Frederik Gauthier
88
Plus/Moins
Tanner Richard
27
Victoires
Joe Cannata
35
Pourcentage d’arrêts
Jack LaFontaine
1

Statistiques d’équipe
Buts pour
324
4.05 GFG
Tirs pour
2700
33.75 Avg
Pourcentage en avantage numérique
20.5%
61 GF
Début de zone offensive
36.1%
Buts contre
311
3.89 GAA
Tirs contre
2558
31.98 Avg
Pourcentage en désavantage numérique
77.9%
72 GA
Début de la zone défensive
36.6%
Informations de l'équipe

Directeur généralPierre-Luc Dionne
EntraîneurDoug Gilmour
DivisionJohn-Ahearne
ConférenceRobert-Lebel
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,802
Billets de saison300


Informations de la formation

Équipe Pro34
Équipe Mineure20
Limite contact 54 / 250
Espoirs0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Frederik Gauthier (R)X100.006426946969867872717273736556456051710212950,000$
2Craig Cunningham (R)X100.008037777471648372657372676966623349700261850,000$
3Mike Amadio (R)X100.005825986876867667697266766249437152700204975,000$
4Michael Chaput (R)X100.007144797669727175737266656855484041690242850,000$
5Tanner Richard (R)X100.007944707476587368717871666553484162690231900,000$
6Andrew Mangiapane (R)X100.006437745686687567717384567648425962680201500,000$
7Curtis Lazar (R)X100.006339807267676270696775606844445652670211525,000$
8Mikhail Grigorenko (R)X100.005829757366756866807775575946464761670223800,000$
9Kevin Fiala (R)X100.006135717659666574686570628044425951660202750,000$
10Mattias Janmark (R)X100.006041836556737365717969526450494335650241775,000$
11Myles Bell (R)X100.006727715966656866657284506248483723650232700,000$
12Nick Paul (R)X100.006446806569656665646971556543434923640212800,000$
13Kurtis Gabriel (R)X100.007854776978577562576560555850504419630231700,000$
14Nikita Scherbak (R)X100.006429765779646265646370496442435547620204650,000$
15Dillon Dube (R)X100.006834774775676560685774475640407047600182500,000$
16Patrick Russell (R)X100.004845686556717153606157415448493321570231500,000$
17Ross Johnston (R)X100.008757635680487352475157396048485622560221500,000$
18Petter Granberg (R)X100.008234797476827073557864745959484156730241650,000$
19Ben Harpur (R)X100.007543767680795969477366735657445322710213900,000$
20Nick Mattson (R)X100.007134717671707360557665686167583461690251900,000$
21Mike Reilly (R)X100.006619737766777368566874666055474561680241900,000$
22Duncan Siemens (R)X100.006935697072686360456456725349474625660232775,000$
23Julius Honka (R)X100.006944806167697262556262736344435838660204800,000$
24Calle Andersson (R)X100.006721736657616168487053615444444121620223500,000$
25Jeremy Davies (R)X100.005836766856446173418353543744465821610202500,000$
Rayé
1JJ. Piccinich (R)X100.007038575866455958446055564842425520550203450,000$
2Clark Bishop (R)X100.004935825759705343586449525542425419540202400,000$
3Jackson Cates (R)X100.004725756858646047595842515242436619540192500,000$
4Patrick Sieloff (R)X94.667236677769705968516557745250464221670221850,000$
5Zach Whitecloud (R)X100.005629626460585952326242555044424420560201500,000$
MOYENNE D’ÉQUIPE99.82663675676967686459686460604946503764
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Joe Cannata99.00777475677077767074766765552858730262900,000$
2Mackenzie Blackwood100.00736974716775697269737647436561690201500,000$
Rayé
1Jack LaFontaine (R)100.00575363464064584647625440407120520184300,000$
2Michael Giugovaz100.00495846555448614844536243435120510212500,000$
MOYENNE D’ÉQUIPE99.7564646560586666595966654945544061
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Gilmour67668070378057CAN492700,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Frederik GauthierIcehogs (Chi)C59404888-155781442315612217.32%41137723.351313262715701111903450.85%18742727011.2814001945
2Craig CunninghamIcehogs (Chi)LW73344276-224801371102687615112.69%28145219.891213253720811271674157.28%1035824001.0516000423
3Curtis LazarIcehogs (Chi)RW782940692520092631644810417.68%22124615.984111515210000093044.93%692517011.1100000235
4Tanner RichardIcehogs (Chi)C80313869274551301171935510016.06%24121715.222461012800051137149.54%7693516011.1335001634
5Michael ChaputIcehogs (Chi)C65223456718095821755810112.57%25105316.20369811600061211152.86%7702427011.0601000341
6Petter GranbergIcehogs (Chi)D73104454445515114416258716.17%110202927.803912242520224249110.00%04177000.5300001218
7Mike AmadioIcehogs (Chi)RW70173552-2100591101434910211.89%45134819.26211131118910151242048.35%3642736000.7716000043
8Stefan MatteauBlackhawksLW31272350-83605252157569517.20%1470722.849716241100002894053.60%1254310021.4112000631
9Andrew MangiapaneIcehogs (Chi)LW792126471452011777144347214.58%29128616.283471114001161231256.92%651817000.7311000222
10Mikhail GrigorenkoIcehogs (Chi)LW801726432432063631564610010.90%1393111.641126570001333055.88%341813000.9200000122
11Ben HarpurIcehogs (Chi)D6463642364010112712245474.92%95172927.022911152211012209110.00%03857000.4900000210
12Kevin FialaIcehogs (Chi)RW73142337133008353129408710.85%2588712.16000353000170250.00%362217000.8322000232
13Nick MattsonIcehogs (Chi)D8032528-56201221168645413.49%103175621.9615692130001199000.00%02764000.3200000001
14Mike ReillyIcehogs (Chi)D80621271735899411645415.17%80163520.4411241940004185100.00%03948000.3301000011
15Mattias JanmarkIcehogs (Chi)LW5391019720342164173614.06%64688.840000140002450037.50%2494000.8100000100
16Dillon DubeIcehogs (Chi)C7168143180513538131515.79%116198.7300004000061051.12%22332000.4500000000
17Myles BellIcehogs (Chi)LW374711510026156121406.56%52807.5900002000190066.67%15131000.7800000000
18Nikita ScherbakIcehogs (Chi)RW6565113140462359172810.17%95077.8000003000030077.78%946000.4300000011
19Duncan SiemensIcehogs (Chi)D381780100192820695.00%2040410.6500003000022000.00%016000.4000000101
20Julius HonkaIcehogs (Chi)D59178228033493416142.94%4174112.5600009000040000.00%0330000.2200000000
21Kurtis GabrielIcehogs (Chi)RW48448-1141041205414247.41%94278.9100009000000060.00%10112000.3700110000
22Patrick SieloffIcehogs (Chi)D671781849561725321181.89%5897814.60011256000081000.00%01030000.1600100000
23Jackson CatesIcehogs (Chi)C211236206971514.29%21567.4500001000000042.37%5903000.3800000001
24Clark BishopIcehogs (Chi)C9112-1003730133.33%09510.6400000000081043.10%5802000.4200000000
25Nick PaulIcehogs (Chi)LW25011000305360.00%1401.62000010000120011.11%930000.4900000000
26Calle AnderssonIcehogs (Chi)D22000060563110.00%31727.8400000000013000.00%156000.0000000000
27Zach WhitecloudIcehogs (Chi)D4000000000000.00%030.850000000000000.00%000000.0000000000
28Jeremy DaviesIcehogs (Chi)D14000100121000.00%0261.930000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne151831152083112466335169816392648841143111.74%8192358315.5456951512062361358482072331350.79%4617504542060.701028213413441
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Joe CannataIcehogs (Chi)65352250.8883.483641002111877931510.765176210132
2Mackenzie BlackwoodIcehogs (Chi)2651030.8624.7211960094679351100.50061862100
3Jack LaFontaineIcehogs (Chi)10001.0000.001100011000.000008000
Statistiques d’équipe totales ou en moyenne92403280.8813.7748490030525571283610.696238080232


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Andrew MangiapaneIcehogs (Chi)LW201996-01-01Yes184 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$No
Ben HarpurIcehogs (Chi)D211995-01-01Yes185 Lbs6 ft5NoNoNo3Pro & Farm900,000$0$0$No1,000,000$1,200,000$
Calle AnderssonIcehogs (Chi)D221994-01-01Yes211 Lbs6 ft2NoNoNo3Pro & Farm500,000$0$0$No575,000$650,000$
Clark BishopIcehogs (Chi)C201996-01-01Yes199 Lbs5 ft11NoNoNo2Pro & Farm400,000$0$0$No500,000$
Craig CunninghamIcehogs (Chi)LW261990-01-01Yes184 Lbs5 ft10NoNoNo1Pro & Farm850,000$0$0$No
Curtis LazarIcehogs (Chi)RW211995-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm525,000$0$0$No
Dillon DubeIcehogs (Chi)C181998-01-01Yes187 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Duncan SiemensIcehogs (Chi)D231993-01-01Yes200 Lbs6 ft3NoNoNo2Pro & Farm775,000$0$0$No850,000$
Frederik GauthierIcehogs (Chi)C211995-01-01Yes185 Lbs6 ft4NoNoNo2Pro & Farm950,000$0$0$No1,500,000$
JJ. PiccinichIcehogs (Chi)RW201996-01-01Yes185 Lbs6 ft0NoNoNo3Pro & Farm450,000$0$0$No465,000$575,000$
Jack LaFontaineIcehogs (Chi)G181998-01-01Yes205 Lbs6 ft2NoNoNo4Pro & Farm300,000$0$0$No400,000$500,000$550,000$
Jackson CatesIcehogs (Chi)C191997-01-01Yes190 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Jeremy DaviesIcehogs (Chi)D201996-01-01Yes181 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Joe CannataIcehogs (Chi)G261990-01-01No200 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$
Julius HonkaIcehogs (Chi)D201996-01-01Yes180 Lbs5 ft11NoNoNo4Pro & Farm800,000$0$0$No850,000$950,000$1,000,000$
Kevin FialaIcehogs (Chi)RW201996-01-01Yes193 Lbs5 ft10NoNoNo2Pro & Farm750,000$0$0$No750,000$
Kurtis GabrielIcehogs (Chi)RW231993-01-01Yes185 Lbs6 ft4NoNoNo1Pro & Farm700,000$0$0$No
Mackenzie BlackwoodIcehogs (Chi)G201996-01-01No225 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Mattias JanmarkIcehogs (Chi)LW241992-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm775,000$0$0$No
Michael ChaputIcehogs (Chi)C241992-01-01Yes197 Lbs6 ft2NoNoNo2Pro & Farm850,000$0$0$No950,000$
Michael GiugovazIcehogs (Chi)G211995-01-01No185 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No600,000$
Mike AmadioIcehogs (Chi)RW201996-01-01Yes204 Lbs5 ft11NoNoNo4Pro & Farm975,000$0$0$No1,100,000$1,750,000$2,750,000$
Mike ReillyIcehogs (Chi)D241992-01-01Yes191 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$No
Mikhail GrigorenkoIcehogs (Chi)LW221994-01-01Yes200 Lbs6 ft3NoNoNo3Pro & Farm800,000$0$0$No950,000$985,000$
Myles BellIcehogs (Chi)LW231993-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm700,000$0$0$No800,000$
Nick MattsonIcehogs (Chi)D251991-01-01Yes189 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$No
Nick PaulIcehogs (Chi)LW211995-01-01Yes185 Lbs6 ft2NoNoNo2Pro & Farm800,000$0$0$No900,000$
Nikita ScherbakIcehogs (Chi)RW201996-01-01Yes192 Lbs6 ft2NoNoNo4Pro & Farm650,000$0$0$No750,000$775,000$925,000$
Patrick RussellIcehogs (Chi)RW231993-01-01Yes203 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Patrick SieloffIcehogs (Chi)D221994-01-01Yes192 Lbs6 ft0NoNoNo1Pro & Farm850,000$0$0$No
Petter GranbergIcehogs (Chi)D241992-01-01Yes200 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$No
Ross JohnstonIcehogs (Chi)LW221994-01-01Yes235 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$No
Tanner RichardIcehogs (Chi)C231993-01-01Yes176 Lbs5 ft11NoNoNo1Pro & Farm900,000$0$0$No
Zach WhitecloudIcehogs (Chi)D201996-01-01Yes209 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3421.65194 Lbs6 ft11.94677,941$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Craig CunninghamFrederik GauthierMike Amadio40122
2Andrew MangiapaneTanner RichardCurtis Lazar30122
3Mikhail GrigorenkoMichael ChaputKevin Fiala20122
4Myles BellDillon DubeKurtis Gabriel10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Petter GranbergBen Harpur40122
2Nick MattsonMike Reilly30122
3Julius HonkaDuncan Siemens20122
4Calle AnderssonJeremy Davies10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Craig CunninghamFrederik GauthierMike Amadio60122
2Andrew MangiapaneTanner RichardCurtis Lazar40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Petter GranbergBen Harpur60122
2Nick MattsonMike Reilly40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Frederik GauthierMike Amadio60122
2Craig CunninghamTanner Richard40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Petter GranbergBen Harpur60122
2Nick MattsonMike Reilly40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Frederik Gauthier60122Petter GranbergBen Harpur60122
2Mike Amadio40122Nick MattsonMike Reilly40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Frederik GauthierMike Amadio60122
2Craig CunninghamTanner Richard40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Petter GranbergBen Harpur60122
2Nick MattsonMike Reilly40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Craig CunninghamFrederik GauthierMike AmadioPetter GranbergBen Harpur
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Craig CunninghamFrederik GauthierMike AmadioPetter GranbergBen Harpur
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mattias Janmark, Nick Paul, Nikita ScherbakMattias Janmark, Nick PaulNikita Scherbak
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Julius Honka, Duncan Siemens, Calle AnderssonJulius HonkaDuncan Siemens, Calle Andersson
Tirs de pénalité
Frederik Gauthier, Mike Amadio, Craig Cunningham, Tanner Richard, Michael Chaput
Gardien
#1 : Joe Cannata, #2 : Mackenzie Blackwood


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Admirals73201001272163110000112102421010001511490.64327416800951211011121299685182752226697115131929.03%33778.79%2920175952.30%926178551.88%662132749.89%173297716657561458730
2Barracuda32000100151141000010034-122000000127550.8331526410095121101111129968518275210123186514535.71%9277.78%0920175952.30%926178551.88%662132749.89%173297716657561458730
3Bears2020000049-51010000015-41010000034-100.00046100095121101117499685182752661822405120.00%11190.91%0920175952.30%926178551.88%662132749.89%173297716657561458730
4Comets210000016601000000112-11100000054130.750610160095121101116199685182752622416547114.29%80100.00%0920175952.30%926178551.88%662132749.89%173297716657561458730
5Condors42100010131031010000012-132000010128460.7501322350095121101111449968518275210250228420315.00%11190.91%0920175952.30%926178551.88%662132749.89%173297716657561458730
6Crunch3300000018991100000064222000000125761.000183250009512110111105996851827528928228010220.00%11281.82%0920175952.30%926178551.88%662132749.89%173297716657561458730
7Devils33000000217141100000083522000000134961.00021355600951211011110899685182752902733525240.00%14378.57%0920175952.30%926178551.88%662132749.89%173297716657561458730
8Eagles22000000844110000004131100000043141.000814220095121101117399685182752511583910110.00%40100.00%0920175952.30%926178551.88%662132749.89%173297716657561458730
9Griffins31100001141402100000110911010000045-130.50014213500951211011110199685182752983235688112.50%10280.00%0920175952.30%926178551.88%662132749.89%173297716657561458730
10Heat303000001015-520200000710-31010000035-200.000101828009512110111859968518275210622446310220.00%22959.09%0920175952.30%926178551.88%662132749.89%173297716657561458730
11Little Stars20200000310-71010000027-51010000013-200.000369109512110111589968518275270152039800.00%10280.00%0920175952.30%926178551.88%662132749.89%173297716657561458730
12Marlies312000001220-821100000812-41010000048-420.333122234009512110111899968518275210941456910220.00%17382.35%0920175952.30%926178551.88%662132749.89%173297716657561458730
13Monsters623001001419-53210000098130200100511-650.41714203400951211011121199685182752179606113139410.26%29775.86%0920175952.30%926178551.88%662132749.89%173297716657561458730
14Moose3110100014131211000008801000100065140.667142438009512110111121996851827521053822688450.00%11463.64%0920175952.30%926178551.88%662132749.89%173297716657561458730
15Penguins2200000017611110000008351100000093641.0001725420095121101117299685182752552326429222.22%8187.50%0920175952.30%926178551.88%662132749.89%173297716657561458730
16Phantoms523000002222030300000714-722000000158740.4002237590095121101111759968518275218153328414321.43%16381.25%0920175952.30%926178551.88%662132749.89%173297716657561458730
17Punishers220000001147110000004131100000073441.0001116270095121101116499685182752552712385240.00%60100.00%0920175952.30%926178551.88%662132749.89%173297716657561458730
18Rampage21001000734100010002111100000052341.0007121900951211011174996851827525118143711218.18%7271.43%0920175952.30%926178551.88%662132749.89%173297716657561458730
19Reign330000001596110000006422200000095461.000152641009512110111109996851827529231186211327.27%9277.78%0920175952.30%926178551.88%662132749.89%173297716657561458730
20Rocket31100001121022100000110731010000023-130.5001220320095121101111059968518275210433305810330.00%15473.33%0920175952.30%926178551.88%662132749.89%173297716657561458730
21Senators613000202227-530300000716-9310000201511460.50022285000951211011118599685182752204494615122418.18%23769.57%1920175952.30%926178551.88%662132749.89%173297716657561458730
22Sound Tigers504000102031-11302000101119-820200000912-320.2002029490095121101111739968518275217559381008112.50%19478.95%0920175952.30%926178551.88%662132749.89%173297716657561458730
23Thunderbirds20200000610-41010000034-11010000036-300.00061117009512110111549968518275263252751700.00%11463.64%0920175952.30%926178551.88%662132749.89%173297716657561458730
24Wolfpack20000101911-21000010045-11000000156-120.50091524009512110111679968518275264198488337.50%40100.00%0920175952.30%926178551.88%662132749.89%173297716657561458730
25Wolves20200000410-61010000036-31010000014-300.00047110095121101116899685182752602016497114.29%8275.00%0920175952.30%926178551.88%662132749.89%173297716657561458730
Total803332033453243111340131901214145165-204020130213117914633880.550324523847109512110111270099685182752255881970617232976120.54%3267277.91%3920175952.30%926178551.88%662132749.89%173297716657561458730
_Since Last GM Reset803332033453243111340131901214145165-204020130213117914633880.550324523847109512110111270099685182752255881970617232976120.54%3267277.91%3920175952.30%926178551.88%662132749.89%173297716657561458730
_Vs Conference49192002233190191-1258130010388104-1624117021301028715530.541190305495009512110111164999685182752160750144410541974321.83%2055175.12%3920175952.30%926178551.88%662132749.89%173297716657561458730
_Vs Division1968011216367-4935000012834-610330112035332200.526638915200951211011160899685182752609178178433921718.48%852175.29%3920175952.30%926178551.88%662132749.89%173297716657561458730

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8088W132452384727002558819706172310
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8033323345324311
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4013191214145165
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4020132131179146
Derniers 10 matchs
WLOTWOTL SOWSOL
710002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2976120.54%3267277.91%3
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
996851827529512110111
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
920175952.30%926178551.88%662132749.89%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
173297716657561458730


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2021-11-302Icehogs5Admirals1AWSommaire du match
4 - 2021-12-0315Icehogs2Monsters5ALR1Sommaire du match
6 - 2021-12-0524Monsters4Icehogs3BLSommaire du match
9 - 2021-12-0842Admirals3Icehogs2BLXXSommaire du match
12 - 2021-12-1155Icehogs6Senators4AWSommaire du match
14 - 2021-12-1369Sound Tigers7Icehogs2BLSommaire du match
16 - 2021-12-1579Icehogs3Admirals5ALSommaire du match
20 - 2021-12-1997Senators6Icehogs3BLSommaire du match
22 - 2021-12-21107Icehogs5Condors4AWSommaire du match
26 - 2021-12-25124Icehogs2Admirals1AWXSommaire du match
27 - 2021-12-26130Phantoms5Icehogs4BLSommaire du match
29 - 2021-12-28148Marlies6Icehogs8BWSommaire du match
32 - 2021-12-31158Icehogs4Senators3AWXXSommaire du match
34 - 2022-01-02170Heat4Icehogs3BLSommaire du match
36 - 2022-01-04184Icehogs6Crunch2AWSommaire du match
38 - 2022-01-06193Icehogs5Sound Tigers7ALSommaire du match
39 - 2022-01-07204Admirals2Icehogs8BWSommaire du match
43 - 2022-01-11225Senators4Icehogs2BLSommaire du match
45 - 2022-01-13237Icehogs5Senators4AWXXSommaire du match
47 - 2022-01-15250Senators6Icehogs2BLSommaire du match
50 - 2022-01-18263Icehogs3Condors2AWXXSommaire du match
53 - 2022-01-21277Heat6Icehogs4BLSommaire du match
56 - 2022-01-24296Rampage1Icehogs2BWXSommaire du match
58 - 2022-01-26307Icehogs3Thunderbirds6ALSommaire du match
61 - 2022-01-29322Wolfpack5Icehogs4BLXSommaire du match
63 - 2022-01-31336Icehogs5Wolfpack6ALXXSommaire du match
65 - 2022-02-02343Icehogs2Rocket3ALSommaire du match
67 - 2022-02-04353Marlies6Icehogs0BLSommaire du match
70 - 2022-02-07373Little Stars7Icehogs2BLSommaire du match
72 - 2022-02-09381Icehogs1Wolves4ALSommaire du match
76 - 2022-02-13402Monsters2Icehogs3BWR1Sommaire du match
78 - 2022-02-15411Icehogs3Bears4ALSommaire du match
80 - 2022-02-17423Icehogs5Admirals4AWSommaire du match
82 - 2022-02-19431Thunderbirds4Icehogs3BLSommaire du match
85 - 2022-02-22444Icehogs8Phantoms3AWSommaire du match
87 - 2022-02-24458Bears5Icehogs1BLSommaire du match
90 - 2022-02-27474Icehogs4Griffins5ALSommaire du match
91 - 2022-02-28482Condors2Icehogs1BLSommaire du match
94 - 2022-03-03496Icehogs4Condors2AWSommaire du match
95 - 2022-03-04504Icehogs3Heat5ALSommaire du match
98 - 2022-03-07515Monsters2Icehogs3BWR1Sommaire du match
103 - 2022-03-12535Wolves6Icehogs3BLSommaire du match
105 - 2022-03-14544Icehogs7Phantoms5AWSommaire du match
107 - 2022-03-16560Moose3Icehogs2BLSommaire du match
110 - 2022-03-19572Icehogs4Marlies8ALSommaire du match
112 - 2022-03-21582Moose5Icehogs6BWSommaire du match
116 - 2022-03-25600Icehogs5Comets4AWSommaire du match
119 - 2022-03-28614Admirals5Icehogs2BLSommaire du match
123 - 2022-04-01634Sound Tigers8Icehogs4BLSommaire du match
126 - 2022-04-04651Icehogs5Barracuda1AWSommaire du match
127 - 2022-04-05659Phantoms3Icehogs1BLSommaire du match
131 - 2022-04-09683Penguins3Icehogs8BWSommaire du match
134 - 2022-04-12702Icehogs6Moose5AWXSommaire du match
136 - 2022-04-14710Comets2Icehogs1BLXXSommaire du match
138 - 2022-04-16721Icehogs1Little Stars3ALSommaire du match
140 - 2022-04-18735Punishers1Icehogs4BWSommaire du match
142 - 2022-04-20749Icehogs9Penguins3AWSommaire du match
145 - 2022-04-23761Devils3Icehogs8BWSommaire du match
147 - 2022-04-25771Icehogs5Rampage2AWSommaire du match
149 - 2022-04-27785Icehogs1Monsters3ALR1Sommaire du match
150 - 2022-04-28791Phantoms6Icehogs2BLSommaire du match
153 - 2022-05-01808Icehogs7Barracuda6AWSommaire du match
155 - 2022-05-03816Sound Tigers4Icehogs5BWXXSommaire du match
158 - 2022-05-06837Icehogs2Monsters3ALXR1Sommaire du match
159 - 2022-05-07844Crunch4Icehogs6BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
162 - 2022-05-10859Icehogs4Eagles3AWSommaire du match
164 - 2022-05-12869Eagles1Icehogs4BWSommaire du match
166 - 2022-05-14878Icehogs3Reign2AWSommaire du match
169 - 2022-05-17892Icehogs6Crunch3AWSommaire du match
170 - 2022-05-18901Barracuda4Icehogs3BLXSommaire du match
175 - 2022-05-23922Griffins4Icehogs6BWSommaire du match
177 - 2022-05-25933Icehogs6Reign3AWSommaire du match
179 - 2022-05-27944Reign4Icehogs6BWSommaire du match
182 - 2022-05-30958Icehogs5Devils3AWSommaire du match
184 - 2022-06-01972Rocket3Icehogs7BWSommaire du match
185 - 2022-06-02974Icehogs4Sound Tigers5ALSommaire du match
190 - 2022-06-07997Griffins5Icehogs4BLXXSommaire du match
192 - 2022-06-091008Icehogs7Punishers3AWSommaire du match
197 - 2022-06-141027Rocket4Icehogs3BLXXSommaire du match
198 - 2022-06-151029Icehogs8Devils1AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance75,02137,075
Assistance PCT93.78%92.69%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2802 - 93.41% 83,524$3,340,953$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,020,297$ 2,305,000$ 1,790,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,525$ 2,297,687$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 15,025$ 0$




Icehogs Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Icehogs Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Icehogs Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Icehogs Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Icehogs Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA